Location: San Francisco or Croatia

Type: Full-time

Reports to: CEO

The role

You will own the product for Daytona's serverless GPU sandboxes, embedded directly in the GPU pod with its engineering lead. GPU compute behind a single API call is a new category. Your job is to decide what we build, for whom, in what order, and at what price.

What You'll Do

• Own the GPU sandbox roadmap: instance shapes, GPU types, regions, quotas, snapshot/pause semantics, and the developer experience around all of it
• Live with customers: AI agent companies, RL training teams, and inference workloads. Turn their pain into a ranked backlog
• Own pricing and packaging inputs: per-second GPU billing, margin modeling with engineering, and competitive positioning against Modal, RunPod, and other Serverless GPU Providers.
• Define and track the metrics that matter: activation, time to first GPU sandbox, utilization, net revenue retention on GPU SKUs
• Write crisp specs, cut scope ruthlessly, and ship with the pod every week
• Feed capacity planning: work with engineering and finance on GPU procurement signals from demand data

What We're Looking For

• 5+ years in product management, with real time spent on infrastructure, cloud compute, or developer platforms
• Technical fluency: you can hold your own in a conversation about GPU scheduling, virtualization isolation models, and API design. You don't need to write the code, but you can't be bluffed
• Evidence you have shipped developer-facing products that developers actually adopted
• Strong commercial instincts: pricing, unit economics, and margin awareness are part of the job, not someone else's
• Bias to talking to customers over writing decks